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Dataset Title:	Determining the effects of prey combination on larval Elacatinus colini standard length and survival.
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_739162)
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  date {
    String bcodmo_name "date";
    String description "Date of swim trial; yyyy/mm/dd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  sp {
    String bcodmo_name "species";
    String description "Reef fish species";
    String long_name "SP";
    String units "unitless";
  }
  batch_id {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "sample_descrip";
    String description "Identifies the clutch or batch of larvae";
    String long_name "Batch Id";
    String units "unitless";
  }
  treat {
    String bcodmo_name "treatment";
    String description "Prey type treatment: Artemia; Rotifers; or a combination of plankton, Rotifers, and Artemia (PRA).";
    String long_name "Treat";
    String units "unitless";
  }
  density {
    Byte _FillValue 127;
    Byte actual_range 0, 20;
    String bcodmo_name "density";
    String description "Prey density treatments: 0 = unfed control; 3; 6; 9";
    String long_name "Density";
    String units "prey per mililiter";
  }
  combination {
    String bcodmo_name "sample_descrip";
    String description "Prey combination";
    String long_name "Combination";
    String units "unitless";
  }
  bin_id {
    Byte _FillValue 127;
    Byte actual_range 1, 24;
    String bcodmo_name "sample_descrip";
    String description "Rearing bin ID (1 -24)";
    String long_name "Bin Id";
    String units "unitless";
  }
  larva_id {
    Byte _FillValue 127;
    Byte actual_range 1, 25;
    String bcodmo_name "sample";
    String description "Larva ID";
    String long_name "Larva Id";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  surv {
    Byte _FillValue 127;
    Byte actual_range 0, 1;
    String bcodmo_name "sample_descrip";
    String description "Survival (1 = larva survived; 0 = larva perished)";
    String long_name "Surv";
    String units "unitless";
  }
  TL1 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.535, 7.6;
    String bcodmo_name "length";
    String description "Total length measurements of each larva";
    String long_name "TL1";
    String units "milimeter";
  }
  TL2 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.558, 7.62;
    String bcodmo_name "length";
    String description "Total length measurements of each larva";
    String long_name "TL2";
    String units "milimeter";
  }
  TL3 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.57, 7.61;
    String bcodmo_name "length";
    String description "Total length measurements of each larva";
    String long_name "TL3";
    String units "milimeter";
  }
  tl_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 3.554, 7.61;
    String bcodmo_name "length";
    String description "Average of the 3 total length measurements of a larva";
    String long_name "Tl Avg";
    String units "milimeter";
  }
  SL1 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.354, 6.94;
    String bcodmo_name "length";
    String description "Standard length measurements of each larva";
    String long_name "SL1";
    String units "milimeter";
  }
  SL2 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.373, 6.92;
    String bcodmo_name "length";
    String description "Standard length measurements of each larva";
    String long_name "SL2";
    String units "milimeter";
  }
  SL3 {
    Float32 _FillValue NaN;
    Float32 actual_range 3.053, 6.94;
    String bcodmo_name "length";
    String description "Standard length measurements of each larva";
    String long_name "SL3";
    String units "milimeter";
  }
  sl_avg {
    String bcodmo_name "length";
    String description "Average of the 3 standard length measurements of a larva";
    String long_name "Sl Avg";
    String units "milimeter";
  }
  BD1 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 0.97;
    String bcodmo_name "length";
    String description "Body depth measurements of each larva";
    String long_name "BD1";
    String units "milimeter";
  }
  BD2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.404, 0.97;
    String bcodmo_name "length";
    String description "Body depth measurements of each larva";
    String long_name "BD2";
    String units "milimeter";
  }
  BD3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.408, 0.95;
    String bcodmo_name "length";
    String description "Body depth measurements of each larva";
    String long_name "BD3";
    String units "milimeter";
  }
  bd_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.404, 0.96;
    String bcodmo_name "length";
    String description "Average of the 3 body depth measurements of a larva";
    String long_name "Bd Avg";
    String units "milimeter";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Rotifer density experiment: To determine optimal rotifer density for newly
hatched E. lori and E. colini, survival and growth of larvae were evaluated
under 4 different rotifer density treatments: 0 (unfed control), 10, 15, and
20 rotifers ml-1. Twelve, 6.5-L rearing bins were set up for each species,
allowing for 3 replicates per density treatment. On the day of hatch (0 dph),
25 larvae were transferred to each rearing bin. Rotifer density treatments
were assigned to bins at the start of trials using a complete randomized block
design. Following daily water exchange, each rearing bin was dosed with the
assigned rotifer density. There was no significant difference in water quality
parameters among rotifer density treatments (all Kruskal-Wallis tests, p>
0.05). On day 6, all surviving larvae were collected from the rearing bins,
counted and photographed using a dissection microscope. The photographs of
larvae were used to compare larval size (SL) among rotifer density treatment.
Artemia density experiment: To determine the optimal density of Artemia for
culturing E. lori and E. colini larvae, the survival and growth of larvae were
evaluated under 4 density treatments: 0 (unfed control), 3, 6, and 9 Artemia
ml-1. A pilot experiment indicated that >40% of E. colini larvae began
consuming Artemia nauplii at 6 dph. Therefore, for each species, larvae from a
single clutch were reared communally in a 38-L rearing bin and fed 15 rotifers
ml-1 from 0 \\u2013 6 dph. On day 6, surviving larvae were distributed evenly
among twelve, 6.5-L rearing bins (3 bins per Artemia density treatment). Due
to differential survival to day 6, the number of larvae distributed among the
rearing bins varied by species (E. lori: n=20 larvae bin-1; E. colini: n=14
larvae bin-1). Artemia density treatments were assigned to bins at the start
of trials using a complete randomized block design. Following daily water
exchange, each bin was dosed with rotifers (15 ml-1) and the assigned Artemia
density. The photographs of larvae were used to compare larval size (SL) among
Artemia density treatments. Plankton, Rotifers and Artemia Experiment: To
determine the suitability of wild caught plankton for rearing larvae in the
lab in Belize, the growth and survival of E. colini larvae fed a combination
of rotifers and Artemia (RA) was compared with larvae fed solely on wild
caught plankton (P). Prey combination treatments were assigned to bins at the
start of trials using a complete randomized block design. On the day of hatch
(0 dph), 25 larvae were transferred to each of six, 6.5-L rearing bins (3 bins
per prey combination). Rotifers (15 ml-1) or plankton (\\u226410 ml-1) were fed
to larvae beginning at 0 dph. However, Artemia (3 ml-1) were not included in
the RA diet until 6 dph. Due to natural variation in the quantity of plankton
collected in the field each evening, the average density of plankton fed to
larvae was 5.3 \\u00b1 3.8 prey ml-1 (mean \\u00b1 SD). Following daily water
exchange, each rearing bin was dosed with the assigned prey combination. Water
quality parameters were not significantly different between prey treatments
(all Wilcoxon Rank-sum tests, p > 0.05). On day 14, all remaining larvae were
counted and photographed. The photographs of larvae were used to compare
larval size (SL) among prey treatments.";
    String awards_0_award_nid "651264";
    String awards_0_award_number "OCE-1459546";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459546";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Aquaculture treatments 
  P. Buston and J. Majoris, PIs 
  Version 22 June 2018";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-06-22T18:23:02Z";
    String date_modified "2019-06-07T18:08:52Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.739162.1";
    String history 
"2024-04-25T10:58:07Z (local files)
2024-04-25T10:58:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_739162.das";
    String infoUrl "https://www.bco-dmo.org/dataset/739162";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Used to analyze fish swimming behavior";
    String instruments_0_dataset_instrument_nid "739169";
    String instruments_0_description "A tool used to analyze and quantify fish swimming behavior, physiology, and performance.";
    String instruments_0_instrument_name "Swimming Flume";
    String instruments_0_instrument_nid "739157";
    String instruments_0_supplied_name "Custom designed swimming flume";
    String keywords "average, batch, batch_id, bco, bco-dmo, bd1, bd2, bd3, bd_avg, bin, bin_id, biological, chemical, combination, data, dataset, date, density, dmo, erddap, larva, larva_id, management, oceanography, office, preliminary, sl1, sl2, sl3, sl_avg, surv, time, tl1, tl2, tl3, tl_avg, treat";
    String license "https://www.bco-dmo.org/dataset/739162/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/739162";
    String param_mapping "{'739162': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/739162/parameters";
    String people_0_affiliation "Boston University";
    String people_0_affiliation_acronym "BU";
    String people_0_person_name "Dr Peter Buston";
    String people_0_person_nid "544437";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Boston University";
    String people_1_affiliation_acronym "BU";
    String people_1_person_name "Dr John Majoris";
    String people_1_person_nid "728439";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Boston University";
    String people_2_affiliation_acronym "BU";
    String people_2_person_name "Dr John Majoris";
    String people_2_person_nid "728439";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Elacatinus Dispersal II";
    String projects_0_acronym "Elacatinus Dispersal II";
    String projects_0_description 
"Description from NSF award abstract:
Understanding how far young fish move away from their parents is a major goal of marine ecology because this dispersal can make connections between distinct populations and thus influence population size and dynamics. Understanding the drivers of population dynamics is, in turn, essential for effective fisheries management. Marine ecologists have used two different approaches to understand how fish populations are connected: genetic methods that measure connectivity and oceanographic models that predict connectivity. There is, however, a mismatch between the predictions of oceanographic models and the observations of genetic methods. It is thought that this mismatch is caused by the behavior of the young, or larval, fish. The objective of this research is to study the orientation capabilities of larval fish in the wild throughout development and under a variety of environmental conditions to see if the gap between observations and predictions of population connectivity can be resolved. The project will have broader impacts in three key areas: integration of research and teaching by training young scientists at multiple levels; broadening participation of undergraduates from underrepresented groups; and wide dissemination of results through development of a website with information and resources in English and Spanish.
The overall objective of the research is to investigate the role of larval orientation behavior throughout ontogeny in determining population connectivity. This will be done using the neon goby, Elacatinus lori, as a model system in Belize. The choice of study system is motivated by the fact that direct genetic methods have already been used to describe the complete dispersal kernel for this species, and these observations indicate that dispersal is less extensive than predicted by a high-resolution biophysical model; E. lori can be reared in the lab from hatching to settlement providing a reliable source of larvae of all ages for proposed experiments; and a new, proven behavioral observation platform, the Drifting In Situ Chamber (DISC), allows measurements of larval orientation behavior in open water. The project has three specific objectives: to understand ontogenetic changes in larval orientation capabilities by correlating larval orientation behavior with developmental sensory anatomy; to analyze variation in the precision of larval orientation in different environmental contexts through ontogeny; and to test alternative hypotheses for the goal of larval orientation behavior, i.e., to determine where larvae are heading as they develop.";
    String projects_0_end_date "2018-04";
    String projects_0_geolocation "Belizean Barrier Reef System";
    String projects_0_name "Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity";
    String projects_0_project_nid "651265";
    String projects_0_start_date "2015-05";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Determining the effects of prey combination on larval Elacatinus colini standard length and survival.";
    String title "Determining the effects of prey combination on larval Elacatinus colini standard length and survival.";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.